
The Copilot Agent Kit September 2026 release (the free, open-source Power CAT add-on formerly called the Copilot Studio Kit) ships Agent Inventory V2 on a faster Code App architecture, extends governance coverage to GitHub Copilot Harness agents, and adds relationship metadata: MCP lists, connected agents, evaluations, and agent owner IDs.
For CIOs and Power Platform teams, this closes real visibility gaps: you can finally see who owns each agent, what it connects to, and where consumption and risk are building up before agents scale past your guardrails.
Microsoft's Power Customer Advisory Team (Power CAT) shipped the September 2026 release (now branded Copilot Agent Kit, the rename of the Copilot Studio Kit). It remains a free, open-source Power Platform solution that complements Copilot Studio with testing, analytics, governance, and reusable components. The governance-focused highlights:
If you still frame agents as a low-code side project, start with why Copilot and agent governance fails without an operating model.

Agent Inventory V2 is a tenant-wide, cross-environment catalog of every Copilot Studio custom and declarative agent, rebuilt on a Code App architecture for speed and richer governance analytics. It matters because you cannot govern, fund, secure, or retire agents you cannot see.
The value is a single, exportable source of truth: lifecycle and ownership metadata, capability-adoption signals, authentication distribution, governance priorities needing review, and portfolio growth across 6 and 12 month ranges.
The first run is uncomfortable by design: it exposes ownerless agents, over-permissioned connectors, and duplicated builds that were invisible before.
That inventory becomes the backbone of an Agent PMO and a repeatable Copilot governance model, not a one-time cleanup. Field-level detail lives in Microsoft's Agent Inventory documentation.
In Copilot Studio, a harness is the runtime that decides when to call the model and which tools to use.
The GitHub Copilot harness is the reasoning-heavy option: it takes a goal, breaks it into steps, calls connectors, knowledge, MCP, and connected agents, and bills against Copilot Credits.
Critically, makers can consume credits while building, previewing, and evaluating agents, before an agent ever reaches production.
That is the cost-governance trap: a maker-exploration environment can run up consumption even if nothing is ever published. By extending Agent Inventory to GitHub Copilot harness agents, this release lets you find them, classify environments as maker-development or funded-production, and apply the right controls.

The new metadata turns a flat list into a governance graph:
These map to the security questions in Microsoft Agent 365 for business leaders and the layered trust model in building trustworthy AI agents with Azure AI Foundry.
The Kit tells you what an agent can reach; Purview and permission controls decide what it should. Pair discovery with data protection.
Is the Copilot Agent Kit the same as the Power CAT Copilot Studio Kit?
Yes, it is the current name for the Copilot Studio Kit, a free, open-source Power CAT solution. The September 2026 release introduced Agent Inventory V2.
What is Agent Inventory V2?
The rebuilt, Code App-based version giving admins a tenant-wide view of every Copilot Studio agent with richer governance insights and component visualization.
Why does GitHub Copilot Harness coverage matter?
That harness bills Copilot Credits and can consume them during maker development before production; inventory coverage lets you apply controls early.
What are MCP lists and connected agents?
MCP lists show the tools an agent can reach; connected agents show which agents call which, key for blast-radius analysis.
Is the Kit officially supported by Microsoft?
It's an open-source Power CAT project, not a licensed product with an SLA; pilot and validate before broad rollout.
How do we turn the inventory into governance?
Wrap it in an operating model: assign owners, set a cadence, connect to DLP/Purview, and run it through an Agent PMO backlog for remediation, funding, scaling, or retirement.
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